【摘要】 人工智能技术正加速融入供应链管理体系，在应对地缘政治、气候变化与公共卫生事件所引发的供应链中断风险中发挥关键作用。基于资源编排理论，利用2012—2023年我国A股上市公司数据，实证检验了人工智能技术对供应链中断风险的影响。研究发现，人工智能技术能够缓解企业供应链中断风险；异质性分析表明，在数据要素嵌入程度较深、国际化程度低、制造业企业以及环境不确定性感知较弱的企业中，人工智能技术能够更加有效地缓解企业供应链中断风险；机制分析表明，人工智能技术通过提高企业吸收能力和优化商业信用结构来缓解供应链中断风险；进一步分析表明，人工智能技术除了能够缓解企业供应链中断风险外，还可以提高供应链效率、缓解持续发展压力，此外人工智能技术对供应链中断风险的缓解作用存在边际效益递减趋势。研究结论为发挥人工智能技术在现代化产业体系建设中的赋能作用、提升产业链供应链的韧性与安全水平，提供了理论支撑与政策启示。更多还原

【Abstract】 Artificial intelligence(AI) technology is accelerating its integration into supply chain management systems and playing a crucial role in addressing the risks of supply chain disruptions caused by geopolitical, climate change, and public health events. Based on the resource orchestration theory and using data from A-share listed companies in China(2012-2023), this study empirically examines the impact of AI technology on supply chain disruption risks. Findings reveal that AI technology mitigates enterprises’ supply chain disruption risks. Heterogeneity analysis indicates stronger effects in: firms with deeper data element embeddedness; lower internationalization levels; manufacturing firms; firms facing lower environmental uncertainty. Mechanism analysis shows AI reduces risks by: enhancing absorptive capacity; optimizing commercial credit structures. Further analysis demonstrates AI: improves supply chain efficiency; alleviates sustainability pressures; exhibits diminishing marginal returns in risk mitigation. These conclusions provide theoretical and policy foundations for leveraging AI’s enabling role in modern industrial systems to enhance industrial chain resilience and security.更多还原